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In view of the shortcomings of bore and section data-based modeling,, a new kind of data structure is proposed in this paper to describe three-dimensional geological body structure based on borehole data. Based on OpenGL library, the 3D geological modeling and visualization of complex geologic body were achieved in Visual C ++ 6.0. Experimental data test shows that the data-structure not only can...
This paper does an empirical research on school production efficiency of educational resource in chinese compulsory education, using the DEA model, Tobit model and other statistical methods. Results show that: (1) The school production efficiency of educational resource in the middle-eastern area of China is not satisfactory. Therefore, it is a feasible way to improve school production efficiency;...
At first, we analyze the advantages about employing multilevel model in communication research. When it samples from different levels and units, the resultant data will appear stratification. Hierarchical data structure is common in communication studies. Audiences exist within hierarchies tend to be more similar to each other than people randomly sampled from the entire population. Therefore, multilevel...
Based on the third generation YQH-100 multiphase rotodynamic pump independently developed as the research object, The models of BP and RBF neural network were established respectively to predict the Multiphase Rotodynamic pump energy characteristics. The 27 groups of sample data of neural networks were created by FLUENT numerical calculated. The performance data of 20 multiphase rotodynamic pumps...
The theoretical calculation model for price-earning ratio (PE) is deduced through transforming the dividend discount model so as to find out the main factors affecting price-earning ratio in theory. Stocks of Shanghai Stock Exchange (SSE) 180 index are selected as the sample, and empirical study on the main factors affecting price-earning ratio is carried out based on the panel data during the 2005–2008...
In this paper, a modified TS-type neuro-fuzzy system (MTSNFS) for on-line identification is proposed, which possesses six layers of neurons to perform the fuzzy inference. A modified self-organizing competitive learning algorithm with capabilities of dynamical rules recruitment and cancellation is proposed for structure identification. A hybrid learning algorithm combining recursive least squares...
Focusing on the “passion at work” specific to leaders, this study examined the relationships among leaders' passion at work, transformational leadership and leader effectiveness using structural equation modeling. Specifically, we developed and tested the ideas that mediated effects of transformational leadership. Using a sample of managers in China, results supported the direct and indirect effects...
Test data is generated by making use of minimization branch function for a given path. This method is classical but it needs to iteratively calculate the current value of the variable in the predicate for the given path. For this reason, this paper devised a model for test data generation based on predicate slice by means of combining existed slicing technology with the hybrid encoding genetic algorithm...
Based on Inner Mongolia Autonomous Region, this paper analyzes the long-run and short-run influence of expenditure for S&T on economic growth in the minority area. In the process of analysis, the methods of panel unit root test and panel co-integration together with the error correction model (ECM) are used. The results show that expenditure for S&T promoted the economic growth in the minority...
The web search data, which records hundreds of millions of searchers' concerns and interests, reflects the trends of their behavior and provides essential data basis for the prediction of tourist amount. In this paper, firstly, we build a systematic theoretical framework reveal the correlation between web search and tourists' travel. Then, at the basis of the theoretical framework, we establish a...
In the modern society of which material capital is relatively abundant, human capital places an increasingly prominent role in economic growth. This article,which is based on the principle of human capital in connection with the actual situation of China's regional economic development, uses Lucas' model of human capital spillover to analysis growth differences in human capital's contribution to economic...
Adaptive neural network-based fuzzy inference system (ANFIS) was applied to build a fault diagnosis model of automobile engine, the thesis, with the construction of ANFIS, by using gradient descent genetic algorithm and optimization of system parameters of neutral network learning algorithm, inputs the fusion data into ANFIS, the ANFIS fault diagnosis model adopts the method of information fusion...
Workflow simulation is a valid technique backing up process improvement. To this day, workflow model simulation is still a weak segment. Based on the research on workflow simulation technique, this issue carries out a way of business process simulation based on workflow, and offers the realization of workflow simulation mechanism supporting business process based on virtual running environment, finds...
We use the research model of Angelo Baglioni. Considering the actual situation in China, we construct the models of the impact of individual bank's capital requirements on the credit channel and the impact of capital requirements on the credit market. We analyze the impact of commercial banks of capital adequacy and capital shortage on the credit channel respectively. We use the Chinese data during...
In 2010, China's domestic value-added tax revenue is 2.109195 trillion yuan, accounting for 29% of the total income tax revenue, is one of China's current major taxes. Therefore, based on the data in the CTAIS to analyse the tax burden, and constructs the VAT tax burden warming system, is the effective measures to keep the rapid growth of VAT. meanwhile, through drawing up the value added table, can...
Visualization of the meaning and main content have been introduced. The author analyzed three-dimensional visualization framework structure of water allocation decision support system and main using technology, the functional design, the visualization environmental construction and the human-computer interaction technology et al
Forecasting accuracy can be substantially improved through the combination of multiple individual forecasts. Yet most previous attempts at combining forecasts have focused on a single objective. This paper provides an ensemble forecasting model integrating autoregressive integrated moving average (ARIMA) with artificial neural networks (ANN) based on combined objectives. Golden section criteria is...
With the development of computer technology and geological modeling study of the gradual maturity, 3D for the engineering geological modeling and information visualization analysis system of opportunities and challenges brought about. Have carried on the detailed introduction to the three dimensional geological modeling tool and the method. Summarized the three dimensional geological modeling basic...
Railway, as one of the most essential infrastructures of China, has endured extremely high difficulty level due to huge investment scale and high quality requirements. The traditional management method of technical-economic indexes and simulation are not perfect, so simulating technical indexes catering to the features of railway construction project is an accurate and efficient management method...
Regardless of the traditional network, or wireless sensor networks, routing algorithms is the key support for network transmission technology. This paper focuses on the combination of GA and WSN routing algorithm, and analyzes the problem about hierarchy routing algorithm based on GA. Thus, this paper improves hierarchy routing algorithm using GA. The experiment result show that the performance of...
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